Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
9 * !
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 202
Data Science Education - Successes and Challenges: Stories from the Classroom and Beyond — Invited Papers
Journal of Statistics Education , Business Analytics/Statistics Education Interest Group, Section on Statistical Education
Organizer(s): Soma Roy, Cal Poly, San Luis Obispo
Chair(s): Amy Wagler, The University of Texas at El Paso
2:05 PM
Teaching Students to Think About Data Representation
Dennis L Sun, Cal Poly and Google
2:25 PM
An Interdisciplinary Approach to Data Science Education
Presentation
Galin Jones, University of Minnesota
2:45 PM
Scaling a Data Science Curriculum to the Masses: Success and Failures in the Undergraduate Classroom
Thomas Fisher, Miami University
3:05 PM
Data Science: a Recent Graduate's 'Reverse Engineered' Perspective
Presentation
Kelsey Warsinske, DePauw University, Miami University, Facebook
3:25 PM
Discussant: Nicholas J. Horton, Amherst College
3:45 PM
Floor Discussion
22 * !
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 210
The World of Data Analysis Professionals — Topic Contributed Papers
Section for Statistical Programmers and Analysts , Section on Statistical Learning and Data Science, Business Analytics/Statistics Education Interest Group
Organizer(s): Nancy Wang, Celerion
Chair(s): Nancy Wang, Celerion
2:05 PM
Bridge the Gap Between Statistician and Data Analysis Professionals
Presentation
Ming Li, Amazon
2:25 PM
Boost Your Analytical Power by Utilizing Text Data
Jin Su, Johnson & Johnson Vision Care; Danielle Boree, Johnson & Johnson Vision
2:45 PM
Statistics at Consumer Reports
Presentation
Michael Saccucci, Consumer Reports
3:05 PM
Developing a Data Science Program; Challenges and Outcomes
Presentation
Mahbubul Majumder, University of Nebraska at Omaha
3:25 PM
Discussant: Greg Valin, Amgen, Inc
3:45 PM
Floor Discussion
30
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 209
SPEED: Statistics and Econometrics — Contributed Speed
Business and Economic Statistics Section , Quality and Productivity Section, Section on Statistical Graphics, Transportation Statistics Interest Group, Section on Statistics in Marketing, Business Analytics/Statistics Education Interest Group
Chair(s): Denis Talbot, Universite Laval
Poster Presentations
for this session.
2:05 PM
Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
2:20 PM
Benchmarking Monthly Seasonally Adjusted Series to Quarterly Adjustments
Brian Monsell, U.S. Census Bureau ; Tucker S McElroy, U.S. Census Bureau
2:25 PM
Sample Size Requirements for Estimating L-Moments
Timothy Anderson, Air Force Institute of Technology ; Christine M Schubert, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Lab
2:30 PM
THE INEQUALITY PROCESS' (IP's) FOOTPRINT in STOCK MARKET
Presentation
John Angle, The Inequality Process Institute LLC
2:35 PM
Repeated-Measures ANCOVA for an Antibiotic-Free Experiment in Swine
Presentation
Danielle Wilson-Wells, DNA Genetics ; Tom A. Rathje, DNA Genetics; Caitlyn E Bruns, DNA Genetics
2:45 PM
Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Presentation
Donggyu Kim, KAIST ; Jianqing Fan, Princeton University
2:50 PM
Is Faster Always Better? Results from Joint Time-Use-Expenditure and Mode Choice Model
Presentation
Simona Jokubauskaite, Institute of Applied Statistics and Computing, BOKU Vienna ; Reinhard Hoessinger, Institute for Transport Studies, BOKU Vienna; Florian Aschauer, Institute for Transport Studies, BOKU Vienna; Regine Gerike, Institute of Transport Planning and Road Traffic, TU Dresden; Sergio Jara-Diaz, University of Chile; Stefanie Peer, Institute for Multi-Level Governance and Development, WU Vienna; Basil Schmid, Institute for Transport Planning and Systems, ETH Zurich; Kay W. Axhausen, Institute for Transport Planning and Systems, ETH Zurich; Friedrich Leisch, Institute of Applied Statistics and Computing, BOKU Vienna
3:00 PM
Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Presentation
Michael Fu, Smith School of Business
3:05 PM
Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University ; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES
3:10 PM
Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins
Presentation
Huynh Kim, Bank of Canada ; Heng Chen, Bank of Canada; Oz Shy, Unaffiliated
3:15 PM
Enhancing Communication in Data Visualization
Presentation
Mojca Bavdaz, University of Ljubljana ; Irena Bolko, University of Ljubljana, Social Science Data Archives
3:20 PM
The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong ; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
3:25 PM
Model Averaging in a Multiplicative Heteroscedastic Model
Presentation
Alan Wan, City Univ of Hong Kong ; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
3:30 PM
The Art of Ensemble Modeling with SPSS Modeler
Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Timothy Tate, C Spire
3:35 PM
Two-Sample Test for Covariance Operators with Incompletely Observed Functional Data
Presentation
Lihan Yan, FDA ; Tao Zhang, Guangxi University of Science and Technology; Zhaohai Li, George Washington University
3:40 PM
Perspectives, Performance Measurement, and Multivariate Analysis of Grades in Teaching Statistics
William Seaver, Univ. of Tennessee at Knoxville ; Missy Morris, Univ. of Tennessee at Knoxville; Thomas Edmiston, Univ. of Tennessee at Knoxville
3:45 PM
Applications of Non-Standard Disclosure-Avoidance Methods in Clinical Trials Data
Barbara Do, RTI International ; Pooja Iyer, RTI International
73
Sun, 7/29/2018,
4:00 PM -
5:50 PM
CC-West 208
Data Driven Digital and Social Media Marketing — Contributed Papers
Section on Statistics in Marketing , Business Analytics/Statistics Education Interest Group
Chair(s): Yichen Qin, University of Cincinnati
4:05 PM
Understand the Impact of Video Game Marketing Spend: a Data Science Approach of Multi-Touch Attribution
Yushu Chai, Electronic Arts, Inc. ; Chen Teel, Electronic Arts
4:20 PM
The Strategy and Tactics of Search Advertising Business: Evidence from the Chinese E-Commerce Market
Presentation
Min Li, California State University, Sacramento ; Joseph Richards, California State University, Sacramento
4:35 PM
Build-Your-Own Dashboards for Metric Choice
Presentation
Peter Lenk, University of Michigan ; Ofer Mintz, University of Sydney; Yakov Bart, Northeastern University; David Reibstein, University of Pennsylvania
4:50 PM
Forecasting Accuracy of Topic Modeling Techniques for Online Reviews: a Benchmark Study
Yuan Cheng, Cornell University ; Shawn Mankad, Cornell University
5:05 PM
Practical Approaches to Performance Rankings
Alan Roshwalb, Ipsos ; John Paul Vidmar, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs
5:20 PM
Paying for Privacy While Selling Your Data: a Discrete Choice Experiment
Zhouyu Wu, Cornell University
5:35 PM
Floor Discussion
86
Sun, 7/29/2018,
5:05 PM -
5:50 PM
CC-West Hall B
SPEED: Statistics and Econometrics — Contributed Poster Presentations
Business and Economic Statistics Section , Quality and Productivity Section, Section on Statistical Graphics, Transportation Statistics Interest Group, Section on Statistics in Marketing, Business Analytics/Statistics Education Interest Group
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
24:
Benchmarking Monthly Seasonally Adjusted Series to Quarterly Adjustments
Brian Monsell, U.S. Census Bureau ; Tucker S McElroy, U.S. Census Bureau
25:
Sample Size Requirements for Estimating L-Moments
Timothy Anderson, Air Force Institute of Technology ; Christine M Schubert, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Lab
26:
THE INEQUALITY PROCESS' (IP's) FOOTPRINT in STOCK MARKET
John Angle, The Inequality Process Institute LLC
27:
Repeated-Measures ANCOVA for an Antibiotic-Free Experiment in Swine
Danielle Wilson-Wells, DNA Genetics ; Tom A. Rathje, DNA Genetics; Caitlyn E Bruns, DNA Genetics
29:
Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Donggyu Kim, KAIST ; Jianqing Fan, Princeton University
30:
Is Faster Always Better? Results from Joint Time-Use-Expenditure and Mode Choice Model
Simona Jokubauskaite, Institute of Applied Statistics and Computing, BOKU Vienna ; Reinhard Hoessinger, Institute for Transport Studies, BOKU Vienna; Florian Aschauer, Institute for Transport Studies, BOKU Vienna; Regine Gerike, Institute of Transport Planning and Road Traffic, TU Dresden; Sergio Jara-Diaz, University of Chile; Stefanie Peer, Institute for Multi-Level Governance and Development, WU Vienna; Basil Schmid, Institute for Transport Planning and Systems, ETH Zurich; Kay W. Axhausen, Institute for Transport Planning and Systems, ETH Zurich; Friedrich Leisch, Institute of Applied Statistics and Computing, BOKU Vienna
31:
Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
32:
Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University ; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES
33:
Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins
Huynh Kim, Bank of Canada ; Heng Chen, Bank of Canada; Oz Shy, Unaffiliated
34:
Enhancing Communication in Data Visualization
Mojca Bavdaz, University of Ljubljana ; Irena Bolko, University of Ljubljana, Social Science Data Archives
35:
The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong ; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
36:
Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong ; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
37:
The Art of Ensemble Modeling with SPSS Modeler
Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Timothy Tate, C Spire
38:
Two-Sample Test for Covariance Operators with Incompletely Observed Functional Data
Lihan Yan, FDA ; Tao Zhang, Guangxi University of Science and Technology; Zhaohai Li, George Washington University
39:
Perspectives, Performance Measurement, and Multivariate Analysis of Grades in Teaching Statistics
William Seaver, Univ. of Tennessee at Knoxville ; Missy Morris, Univ. of Tennessee at Knoxville; Thomas Edmiston, Univ. of Tennessee at Knoxville
40:
Applications of Non-Standard Disclosure-Avoidance Methods in Clinical Trials Data
Barbara Do, RTI International ; Pooja Iyer, RTI International
Oral Presentations
for this session.
101 * !
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 121
Network Analytics in the Era of Big Data — Invited Papers
Section on Statistics in Marketing , Society for Clinical Trials, Business Analytics/Statistics Education Interest Group
Organizer(s): Yichen Qin, University of Cincinnati
Chair(s): Yang Li, Renmin University of China
8:35 AM
Estimation of Change Point in Temporally Evolving Networks
Presentation
Moulinath Banerjee, University of Michigan ; George Michailidis, University of Florida; Monika Bhatacharjee, University of Florida
9:00 AM
Randomization for Networked Experiments Using Random Dot Product Graphs
Yichen Qin, University of Cincinnati ; Carey E Priebe, Johns Hopkins University
9:25 AM
Decision-Theoretic Aspects of Causal Inference Under Network Interference
Presentation
Daniel L Sussman, Boston University
9:50 AM
Community Detection in Multilayer Networks with Heterogeneous Community Structure
James D. Wilson, University of San Francisco
10:15 AM
Floor Discussion
118
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 209
SPEED: Teaching Statistics: Strategies and Applications — Contributed Speed
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Chair(s): Brenna Curley, Moravian College
Poster Presentations
for this session.
8:35 AM
Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Presentation
Darlene Olsen, Norwich University
8:45 AM
The Statistics Workshop: Cultivating Diversity in Statistics
Presentation
Gretchen Martinet, University of Virginia ; Jeffrey J. Holt, University of Virginia
8:50 AM
Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
8:55 AM
Shiny Dashboards to Help Students Improve Performance
Presentation
Robert Carver, Brandeis International Business School
9:00 AM
A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Presentation
Sudipta Roy, University of St. Francis ; Richard Kloser, University of St. Francis
9:05 AM
How Students Make Sense of Data on an E-Learning Platform
Presentation
Philipp Burckhardt, Carnegie Mellon University ; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
9:10 AM
Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses
Presentation
Ryne VanKrevelen, Elon University ; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
9:15 AM
The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education
Presentation
James Pleuss, United States Military Academy
9:20 AM
A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Presentation
Luis Quiros Gomez, School of Statistics, University of Costa Rica ; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
9:30 AM
The Novel Communication Tool: Mathematics Classroom Collaborator (MC2)
Sohee Kang, University of Toronto Scarborough ; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
9:35 AM
Predicting Student Performance in Undergraduate Introductory Statistics Courses
Presentation
Dusty Turner, USMA
9:45 AM
Type S Error Control in Hypothesis Testing
Presentation
Andrew Neath, SIU Edwardsville
9:50 AM
Affordable and Open Educational Resources (OER) in Statistical Education
Suhwon Lee, Univ of Missouri
9:55 AM
Introducing Forecast Intervals with a Confidence Game
Presentation
Robin Lock, St. Lawrence University
10:00 AM
Teaching Statistical Consulting at Primarily Undergraduate Institutions
Presentation
Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
10:05 AM
Helping All Students Properly Design and Analyze Experiments
Presentation
Jennifer Broatch, Arizona State University
10:10 AM
Recreational Statistics at the Junior High/High-School Level
Presentation
Joy Yang, MIT
10:15 AM
Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University ; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
128
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 115
Curricular Considerations for Statistics and Data Science Education — Contributed Papers
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Chair(s): Kevin McCarter, Louisiana State University
8:35 AM
Revisit: a Statistical Teaching Tool in R
Presentation
Tiffany Eunice Chen, UC Davis; Emily Watkins, UC Davis ; Norman Matloff, University of California at Davis
8:50 AM
Developing an Introductory Data Science Course in a Computer Science Curriculum
Presentation
Dianna Spence, University of North Georgia
9:05 AM
Teaching Bayesian Statistics in Undergraduate Classes
Presentation
Ananda Jayawardhana, Pittsburg State University
9:20 AM
Statistics Projects in a PIC-MATH Course
Debra Hydorn, University of Mary Washington
9:35 AM
Statistical Literacy and the Log-Normal Distribution
Presentation
Milo Schield, Augsburg College
9:50 AM
A Venn-Diagram Analysis of the Role of Statistics in Data Science
Presentation
John McKenzie, Babson College
10:05 AM
Floor Discussion
145 * !
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 204
Big Data Statistical Challenges and Opportunities in Industry — Invited Papers
Section on Statistical Consulting , Section on Risk Analysis, National Institute of Statistical Sciences, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
10:35 AM
Deep Analytics for Risk Analysis and Mitigation: From NLP Computer Vision to Sensors
Siddhartha Dalal, Columbia University
10:55 AM
Risk Analysis in Banking
Vijayan Nair, 215157
11:15 AM
Sound Statistical Inference from Big Data in the Insurance Industry
Presentation
Christopher Haydon Holloman, ICC
11:35 AM
Feature Engineering from Scratch
Andrew Smith, Google
11:55 AM
Discussant: James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
12:15 PM
Floor Discussion
153 !
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 202
Creating and Sustaining an Undergraduate Research Program — Topic Contributed Papers
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Organizer(s): Justin Blaise Post, North Carolina State University
Chair(s): Nathan Tintle, Dordt College
10:35 AM
Understanding the Benefits and Barriers of Undergraduate Research in Statistics
Kelly McConville, Swarthmore College ; Joseph Nolan, Northern Kentucky University; Vittorio Addona, Macalester College; Nathan Tintle, Dordt College; Dennis Pearl, Penn State University
10:55 AM
Mentoring Undergraduate Research Students in the Spirit of the Liberal Arts: Adding Depth to Breadth
Vittorio Addona, Macalester College
11:15 AM
Implementing a Department-Wide Undergraduate Research Program
Justin Blaise Post, North Carolina State University
11:35 AM
Using University Athletic Programs as a Platform for Undergraduate Research
Gilbert Fellingham, Brigham Young University
11:55 AM
Finding Undergraduate Research Projects: Pipelines Within a University
Presentation
Emily Griffith, NC State University ; Stephany Dunstan, Office of Assessment, North Carolina State University
12:15 PM
Floor Discussion
181
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West Hall B
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Chair(s): Paul McNicholas, McMaster University
4:
Statistical Problem-Solving Cycles While Solving Simulation Tasks During Guided Interviews
Jonathan M Brown, University of Minnesota - Twin Cities ; Robert C delMas, University of Minnesota - Twin Cities; Andrew S Zieffler, University of Minnesota - Twin Cities
5:
The Difference Two Data Points Can Make
Kirk Anderson, Grand Valley State University ; Mary Richardson, Grand Valley State University
6:
Engaging Students with Technology
Jeffrey Woo, University of Virginia
7:
Creating Custom Take Home Exams for Statistics Courses with R Markdown
Michael Rutter, Penn State Erie, The Behrend College
8:
Tools, Resources and Skills for Statistics Distance Learning/Blended Learning
Xiaofang Shi, University of Kentucky
9:
Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
212 * !
Mon, 7/30/2018,
2:00 PM -
3:50 PM
CC-West 109
An Emerging Ecosystem for Data Science/Statistics Education — Invited Papers
Section on Statistical Education , Section on Statistical Computing, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Albert Y. Kim, Smith College
Chair(s): Albert Y. Kim, Smith College
2:05 PM
Version Control: The Gain You Get for Your Pain
Presentation
Jennifer Bryan, RStudio, University of British Columbia
2:25 PM
Using Data to Drive Curriculum Development
Presentation
Chester Ivan Ismay, DataCamp
2:45 PM
Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks
Presentation
Alicia A Johnson, Macalester College
3:05 PM
Aligning Inference with the Tidyverse: Development of the Infer Package
Presentation 1
Presentation 2
Andrew Paul Bray, Reed College
3:25 PM
Streamline Your Class with RStudio
Presentation
Garrett Grolemund, RStudio Inc.
3:45 PM
Floor Discussion
287
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 210
Student Outcomes in Undergraduate Courses Using a Simulation-Based Inference Approach to Teaching Statistics — Topic Contributed Papers
Section on Statistical Education , Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Nathan Tintle, Dordt College
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
8:35 AM
Assessing Student Improvement in a Multi-Section Coordinated Simulation-Based Curriculum
Stacey Hancock, Montana State University
8:55 AM
Simulation-Based Inference in a Large, Online Intro Course: Meaningful Assessment with Minimal Grading
Presentation
Erin Blankenship, University of Nebraska
9:15 AM
Assessing Students' Strengths and Weaknesses in Simulation-Based Introductory Statistics Courses at the Graduate and Undergraduate Levels
Anelise Sabbag, Cal Poly State University
9:35 AM
Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference
Presentation
Nathan Tintle, Dordt College
9:55 AM
Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World
Presentation
Karen McGaughey, Cal Poly State University
10:15 AM
Floor Discussion
328 *
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-East 10
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments — Invited Panel
Section on Statistical Consulting , ASA Caucus of Academic Representatives, Business Analytics/Statistics Education Interest Group, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Martin S. Levy, University of Cincinnati
Chair(s): Peng Wang, University of Cincinnati
10:35 AM
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Panelists:
Virginia Lesser, Oregon State University
Shane Reese, Brigham Young University
George P. McCabe, Purdue University
Dipak Kumar Dey, University of Connecticut
James Cochran, University of Alabama
12:10 PM
Floor Discussion
348
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 112
Investigations into the Teaching and Learning of Statistics — Contributed Papers
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Chair(s): Joy Yang, MIT
10:35 AM
Developing a Student Survey of Motivational Attitudes Toward Statistics
Presentation
Alana Unfried, California State University, Monterey Bay ; Sarah Coffin, California State University, Monterey Bay; April Kerby, Winona State University
10:50 AM
The Impact of a Growth Mindset Lecture on Traditional and Non-Traditional Statistics Students' Attitudes, Perceptions, Performance, and Retention
Dr Nandini Bhowmick, Indiana State University ; Dr Wendi Benson, Nevada State College
11:05 AM
Dynamic Patterns in Student Evaluations of Teaching After Switching from a Traditional to Blended Format
Presentation
James Schmidt, University of Nebraska - Lincoln
11:20 AM
Ensemble Learning for Estimating Individualized Treatment Effects in Student Success Studies
Presentation
Richard Levine, San Diego State University ; Joshua Beemer, San Diego State University; Juanjuan Fan, San Diego State University
11:35 AM
Implementing the HyFlex (Hybrid-Flexible) Model of Course Delivery in a Probability and Statistics Course for Engineers and Scientists
Presentation 1
Presentation 2
Jackie Miller, University of Michigan ; Melinda E Baham, Baham Consulting
11:50 AM
Concept Maps, Feedback, and Statistics Learning: Exploring the Effects of Expert Map Feedback and Peer Feedback on Concept Map Structure
Terry Hickey, St. Martin's University
12:05 PM
Statistics Education Across the University: a Systematic Review
Presentation
Aimee Schwab-McCoy, Creighton University
380
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 206/207
Bringing Intro Stats into a Multivariate and Data-Rich World — Invited Papers
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Organizer(s): Jeff Witmer, Oberlin College
Chair(s): Ann Cannon, Cornell College
2:05 PM
Inference in Three Hours, and More Time for the Good Stuff
Presentation
Allen Downey, Olin College of Engineering
2:25 PM
Multivariable Thinking with Data Visualization
Presentation
Kari Lock Morgan, Pennsylvania State University
2:45 PM
Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Presentation
Nicholas J. Horton, Amherst College ; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
3:05 PM
Intro Stats and Intro Data Science: Do We Need Both?
Presentation
Mine Cetinkaya-Rundel, Duke University
3:25 PM
Discussant: Jeff Witmer, Oberlin College
3:45 PM
Floor Discussion
404 *
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 211
Effectively Explaining Statistical Concepts to Researchers from Other Fields — Topic Contributed Panel
Section on Statistical Consulting , Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Survey Research Methods Section, Business Analytics/Statistics Education Interest Group
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Harry Dean Johnson, Washington State University
2:05 PM
Effectively Explaining Statistical Concepts to Researchers from Other Fields
Presentation 1
Presentation 2
Presentation 3
Panelists:
Natalie Blades, Brigham Young University
Beth Chance, Cal Poly - San Luis Obispo
Paul Roback, St Olaf College
Heather Smith, Cal Poly
Kim Love, K. R. Love Quantitative Consulting and Collaboration
3:40 PM
Floor Discussion
471 *
Wed, 8/1/2018,
8:30 AM -
10:20 AM
CC-West 205
Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses — Topic Contributed Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Matthew D Beckman, Pennsylvania State University
Chair(s): Kari Lock Morgan, Pennsylvania State University
8:35 AM
Effective Pedagogy in Large-Enrollment Statistics Courses
Presentation
Matthew D Beckman, Pennsylvania State University
8:55 AM
Large-Scale Interactives for Large-Enrolment Courses
Anna Fergusson, The University of Auckland
9:15 AM
Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester
John DeNero, University of California, Berkeley ; Ani Adhikari, University of California, Berkeley
9:35 AM
Productive Struggle Toward Statistical Thinking: Fostering a Student-Active Learning Environment in a Large Class
Catherine Case
9:55 AM
Discussant: Chris Wild, University of Auckland
10:15 AM
Floor Discussion
523
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West 217
Fresh Approaches to Statistical Pedagogy — Contributed Papers
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Chair(s): Sybil Nelson
10:35 AM
On Assessing Large Sample Properties of Estimators: An Empirical Approach
Presentation
Sadia Sarker, Eastern Michigan University ; Khairul Islam, Eastern Michigan University
10:50 AM
Extending the Applications of Simulation-Based Approaches in the Teaching of Elementary Statistics
Sherry Hix, University of North Georgia ; Dianna Spence, University of North Georgia
11:05 AM
Using Simulation Processes to Close the Background Gap Among Students
Presentation
Arturo Valdivia, Indiana University
11:20 AM
Early Introduction of Hypothesis Testing in Introductory Statistics: a Pilot Study
Presentation
Wei Wei, Metropolitan State University ; Heidi Hulsizer, Benedictine College; Aminul Huq, University of Minnesota Rochester
11:35 AM
STEM Storytellers: Improving Graduate Students' Oral Communication Skills
Jennifer L Green, Montana State University ; Shannon Willoughby, Montana State University; Brock LaMeres, Montana State University; Bryce Hughes, Montana State University; Leila Sterman, Montana State University; Christopher Organ, Montana State University; Kent Davis, Montana State University
11:50 AM
Reflections on 10 Years of Teaching Online
Iain Pardoe, Thompson Rivers University
12:05 PM
A Generalized Z Score for Both Symmetric and Asymmetric Distribution
Mian Adnan, Indiana University Bloomington
558 !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 212
Innovations in Teaching Undergraduate Probability — Invited Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences, Section on Risk Analysis, Business Analytics/Statistics Education Interest Group
Organizer(s): Dennis L Sun, Cal Poly and Google
Chair(s): Dennis L Sun, Cal Poly and Google
2:05 PM
Teaching Probability via Stories and Mistakes
Presentation
Joseph Blitzstein, Harvard University
2:25 PM
A Simulation-Based Approach to Teaching Probability Using the Symbulate Package
Presentation
Kevin J Ross, Cal Poly ; Dennis L Sun, Cal Poly and Google
2:45 PM
Teaching Markov Chains Using Java Applets
Jeffrey S Rosenthal, University of Toronto
3:05 PM
Using Texas Hold 'Em Examples to Teach Probability
Presentation
Frederic Paik Schoenberg, UCLA
3:25 PM
Discussant: Amy Wagaman, Amherst College
3:45 PM
Floor Discussion
560 * !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-East 19
Staying Statistically Relevant: Keep Your Skills Sharp! — Invited Papers
Section on Statistical Consulting , Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Business Analytics/Statistics Education Interest Group
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Peter John De Chavez, PepsiCo
2:05 PM
Do as I Say, Not as I Do: Learning from My Mistakes as a Statistical Collaborator
Richard De Veaux, Williams College
2:25 PM
Data for Good: Staying Sharp While Giving Back
David Corliss, Peace-Work
2:45 PM
An Old Dog Self-Teaching New Tricks
Presentation
Mithat Gonen, Memorial Sloan Kettering Cancer Center
3:05 PM
Project Redux: If I Knew Then What I Know Now
Presentation
Mary J Kwasny, Northwestern University
3:25 PM
Discussant: Adin-Cristian Andrei, Northwestern University
3:45 PM
Floor Discussion
579
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-East 10
Building Bridges with Industry and Business for Statistical Programs — Topic Contributed Panel
Business Analytics/Statistics Education Interest Group , Section on Statistical Consulting
Organizer(s): Curt Hinrichs, SAS Institute, JMP Division
Chair(s): Scott Toney, Daniels College of Business, University of Denver
2:05 PM
Building Bridges with Industry and Business for Statistical Programs
Presentation
Panelists:
Sudipta Dasmohapatra, Duke University
Mark Morreale, SAS
Bill Thomas, Raytheon
Nathaniel Payne, Global Relay Communications Inc.
3:40 PM
Floor Discussion
624 !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 210
GAISEing into Introductory Service Courses in Light of Analytics/Data Science — Topic Contributed Panel
Section on Statistical Education , Business Analytics/Statistics Education Interest Group
Organizer(s): Amy L Phelps, Duquesne University
Chair(s): John Draper, The Ohio State University
8:30 AM
GAISEing into Introductory Service Courses in Light of Analytics/Data Science
Presentation
Panelists:
Amy L Phelps, Duquesne University
Beverly Wood, Embry-Riddle Aeronautical University, Worldwide
Mark Eakin, University of Texas Arlington
Mia Stephens, SAS Istitute, JMP Division
George Recck, Babson College
10:10 AM
Floor Discussion